Sustainability and Optimization of Green and Lean Manufacturing Processes Using Machine Learning Techniques

Author:

Ingle Rahul Bhagwan1,Swathi S.2ORCID,Mahendran G.3,Senthil T. S.4,Muralidharan N.5ORCID,Boopathi Sampath6ORCID

Affiliation:

1. Department of Mechanical Engineering, Mauli College of Engineering and Technology, India

2. Department of Artificial intelligence and Data Science, Panimalar Engineering College, India

3. Department of Mechanical Engineering, R.M.K. Engineering College, India

4. Department of Marine Engineering, Noorul Islam Centre For Higher Education, India

5. Department of Mechatronics Engineering, Kongu Engineering College, India

6. Mechanical Engineering, Muthayammal Engineering College, India

Abstract

The chapter introduces the concepts of sustainability, green manufacturing, and lean manufacturing, emphasizing their importance in the manufacturing industry. It then highlights the relevance of machine learning techniques in supporting sustainable manufacturing practices. It focuses on the application of machine learning in sustainable manufacturing, presenting case studies that illustrate the use of machine learning algorithms in optimizing energy consumption, reducing waste, and improving process efficiency. It also discusses the challenges and limitations of implementing machine learning techniques in sustainable manufacturing, as well as potential future advancements. Machine learning techniques can be used to achieve sustainable and efficient manufacturing operations, providing valuable insights for researchers, practitioners, and policymakers.

Publisher

IGI Global

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Balancing Innovation and Security in the Cloud;Improving Security, Privacy, and Trust in Cloud Computing;2024-02-23

2. Securing Cloud Infrastructure in IaaS and PaaS Environments;Improving Security, Privacy, and Trust in Cloud Computing;2024-02-23

3. Intersection of Adaptive Learning, Global Collaboration, and Knowledge Sharing Through Machine Learning in Higher Education;Facilitating Global Collaboration and Knowledge Sharing in Higher Education With Generative AI;2024-02-02

4. Fostering Sustainability Education Through Cross-Disciplinary Collaborations and Research Partnerships;Facilitating Global Collaboration and Knowledge Sharing in Higher Education With Generative AI;2024-02-02

5. Applications of Machine Learning in Education and Skill Developments;Facilitating Global Collaboration and Knowledge Sharing in Higher Education With Generative AI;2024-02-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3